A structural model of the hierarchical assembly of an amyloid nanosheet by an infrared probe technique
文献信息
Baohuan Jia, Ying Sun, Lujuan Yang, Yang Yu, Haoran Fan, Gang Ma
Rational design of amyloid-based materials requires structural insight into such materials. Here, we explore the use of a side-chain-based infrared (IR) probe technique combined with atomic force microscopy, Raman spectroscopy, UV-Vis spectroscopy, and thermogravimetric analysis coupled with mass spectrometry to elucidate the structural details of an amyloid nanosheet formed by an Aβ(16–22) variant, KLVXFAK, where X is p-cyanophenylalanine with its side-chain cyano group being an IR probe. Through the structural constraints obtained with the combined tools, we are able to propose a novel structural model for the amyloid nanosheet. The nanosheet can be viewed as a stack of class 7-type steric-zipper-like amyloid structures with a unique sheared intersheet arrangement: the β-sheets are stacked along a zippering axis with each individual β-sheet sheared relative to its adjacent β-sheets by two residues through the cyano–lysine intersheet hydrogen bond. With such a configuration, the side view of the nanosheet is similar to that of a stack of tilted-aligned roof tiles with each individual β-sheet being each tile. In addition, this work provides a nice example of how to utilize the side-chain-based IR probe technique combined with other supplemental tools to build a hierarchical structural model for a complex amyloid assembly.
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来源期刊
Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.










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